mcpbeat

Regex Vs LLM Structured Text

comeonoliver/regex-vs-llm-structured-text

Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
59
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/ComeOnOliver/skillshub --skill regex-vs-llm-structured-text

How to use it

Copy the folder

Take comeonoliver/regex-vs-llm-structured-text from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.